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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/20942
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Title: | GIS-based Data Synthesis and Visualization |
Authors: | Rocchini, Duccio Garzón-López, Carol X. Barbosa, A. Márcia Delucchi, Luca Olandi, Jonathan E. Marcantonio, Matteo Bastin, Lucy Wegmann, Martin |
Issue Date: | 2018 |
Publisher: | Springer |
Citation: | Rocchini D., Garzón-López C.X., Barbosa, A.M., Delucchi L., Olandi J.E., Marcantonio M., Bastin L., Wegmann M. (in press) GIS-based Data Synthesis and Visualization. In: Recknagel F. and Michener W. (eds.), Ecological Informatics, 3rd Edition, Chapter 14. Springer Verlag |
Abstract: | Synthesizing and properly visualizing data in 2D systems is a key issue when aiming at explaining spatial patterns by spatial processes. In this book chapter we will deal with synthesis and visualization related to the following ecological issues: i) synthesizing species distribution models relying on virtual species, ii) visualizing spatial uncertainty in species distribution based on cartograms, iii) fuzzy methods to synthesize species distribution uncertainty, iv) remote sensing data synthesis by exploratory analysis and re-plotting data in new systems, iv) measuring and visualizing ecological diversity from space based on
generalized entropy and v) neutral landscape for testing ecological theories. We will make use of examples from the free and open source
software GRASS GIS and R. |
URI: | http://hdl.handle.net/10174/20942 |
Type: | bookPart |
Appears in Collections: | CIBIO-UE - Publicações - Capítulos de Livros
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